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- Tasks: Develop cutting-edge quantum algorithms and integrate AI to solve complex challenges.
- Company: Join a leading quantum tech company revolutionizing the future of computing.
- Benefits: Enjoy a competitive salary, bonuses, and benefits in a dynamic work environment.
- Why this job: Shape the future of quantum technology while collaborating with top experts in the field.
- Qualifications: Ph.D. in Quantum Physics or related field with strong R&D experience required.
- Other info: Opportunity to lead interdisciplinary teams and drive innovation in quantum computing.
The predicted salary is between 87000 - 145000 £ per year.
Quantum AI Consultant
London, United Kingdom
Up to £145k + Bonus & Benefits
Join a leading quantum tech company committed to pushing the boundaries of quantum computing. As a Quantum AI Consultant, you will spearhead the development of advanced quantum algorithms—focusing on Variational Quantum Eigensolvers (VQE) and Quantum Approximate Optimization Algorithms (QAOA)—while integrating machine learning methodologies to tackle complex industry challenges. This role offers a unique opportunity to shape the evolution of quantum technology and contribute to practical, high-impact solutions across domains.
Key Responsibilities
Algorithm Development & Optimization
- Design, implement, and refine NISQ-era algorithms (VQE, QAOA, hybrid methods) with a focus on performance and error mitigation.
Quantum–AI Integration
- Leverage quantum programming frameworks (Qiskit, Cirq, Pennylane) alongside AI libraries (PyTorch, TensorFlow) to create scalable quantum-classical workflows.
Project Leadership
- Guide interdisciplinary teams of physicists, AI researchers, and software engineers, ensuring strategic, on-time delivery in a collaborative environment.
Research & Innovation
- Evaluate emerging quantum solutions for commercial potential, bridging the gap between academic breakthroughs and market-ready products.
Performance & Reliability
- Employ error mitigation strategies, advanced simulation tools, and HPC frameworks (MPI) to maintain robust, efficient quantum-classical systems.
Ideal Candidate Profile
Academic & Research Excellence
- Ph.D. in Quantum Physics (or a closely related field), with extensive postdoctoral and/or industry R&D experience.
Deep Technical Expertise
- Proficiency in quantum many-body systems, NISQ-era techniques, and multiple programming languages (Python, C/C++, FORTRAN).
Thought Leadership
- Strong publication record, recognized contributions to quantum computing, and the ability to communicate complex concepts to technical and executive audiences.
Leadership & Collaboration
- Proven success mentoring and managing cross-functional teams, driving results in high-stakes R&D environments.
Project Insights
- Develop quantum algorithms that push current hardware boundaries to deliver industry-relevant solutions.
- Contribute to quantum-classical integration, optimizing data processing and analysis to solve real-world problems faster and more efficiently.
- Explore and innovate with large datasets through quantum machine learning, demonstrating tangible advantages over classical methods.
Intelix.AI | Quantum Engineer employer: Intelix.AI
Contact Detail:
Intelix.AI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Intelix.AI | Quantum Engineer
✨Tip Number 1
Make sure to stay updated on the latest advancements in quantum computing and AI. Follow relevant journals, attend conferences, and engage with the community to showcase your passion and knowledge during interviews.
✨Tip Number 2
Demonstrate your hands-on experience with quantum programming frameworks like Qiskit or Cirq. Consider working on personal projects or contributing to open-source initiatives to build a portfolio that highlights your skills.
✨Tip Number 3
Network with professionals in the quantum tech field. Join online forums, LinkedIn groups, or local meetups to connect with industry experts who can provide insights and potentially refer you to opportunities at companies like us.
✨Tip Number 4
Prepare to discuss your leadership experiences in managing interdisciplinary teams. Be ready to share specific examples of how you've driven projects to success, as this role requires strong collaboration and project management skills.
We think you need these skills to ace Intelix.AI | Quantum Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Quantum AI Consultant position. Understand the key responsibilities and required skills, especially focusing on algorithm development, quantum-AI integration, and project leadership.
Highlight Relevant Experience: In your CV and cover letter, emphasize your Ph.D. in Quantum Physics or related fields, along with any postdoctoral or industry R&D experience. Showcase your proficiency in NISQ-era techniques and programming languages like Python, C/C++, and FORTRAN.
Showcase Your Publications: If you have a strong publication record, make sure to mention it. Highlight any recognized contributions to quantum computing and your ability to communicate complex concepts effectively.
Tailor Your Application: Customize your application materials to reflect the specific requirements of the role. Use keywords from the job description, such as 'error mitigation', 'quantum-classical workflows', and 'cross-functional teams' to demonstrate your fit for the position.
How to prepare for a job interview at Intelix.AI
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with quantum algorithms, particularly VQE and QAOA. Highlight specific projects where you've implemented these techniques and how they contributed to performance improvements.
✨Demonstrate Your Leadership Skills
Share examples of how you've successfully led interdisciplinary teams in the past. Discuss your approach to project management and how you ensure timely delivery while fostering collaboration among team members.
✨Communicate Complex Concepts Clearly
Practice explaining intricate quantum concepts in a way that is accessible to both technical and non-technical audiences. This will showcase your thought leadership and ability to bridge gaps between different stakeholders.
✨Stay Updated on Emerging Technologies
Research the latest advancements in quantum computing and AI integration. Be ready to discuss how these innovations could impact the industry and how you can contribute to leveraging them in your role.
